Conception
Ana Llorens is Assistant Professor of Music Theory at the Universidad Complutense de
Madrid. She received her PhD from the University of Cambridge and is expert in the analysis
of large corpora of music, both scores and recordings. She is responsible for the conception,
design, and revision of musif.
Álvaro Torrente, PI of the Didone Project, is Professor of Musicology at the Universidad
Complutense de Madrid and director of the Instituto Complutense de Ciencias Musicales. He
already applied corpus analysis in his doctoral dissertation (Cambridge, 1997), and his is the
original idea of designing a computational tool for extracting specific features from music
scores that could be used for music analysis and AI tasks.
Coding and documentation
Martín Serrano, programmer of the Didone project, was in charge of the coding from the
initial to the last stages, as well as the implementation of unit tests.
Federico Simonetta, computer scientist, has extensively worked on Music Information
Retrieval, obtaining his PhD at the Università degli studi di Milano. As a postdoc researcher
withing the Didone project, he polished musif code in its final stage and prepared the
documentation and website. He tested the library on multiple corpora.
Daniel Ibáñez, computer scientist, collaborated in the coding during the intermediate phase.
Paula Muñoz-Lago, computer scientist, contributed to the initial code and first stages of the
tool.
Carlos Vaquero Patricio, received a PhD from the Institute for Logic, Language and Computation (Music Cognition Group) at the University of Amsterdam. Joined Didone as a postdoc researcher (Data Scientist) in 2023. Contributed to the final stages of musif, debugging, developing and making it accessible to the MIR community.
